{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import struct\n",
    "import scipy.constants as consts\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [12, 10]"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Config CLI\n",
    "```\n",
    "flushCfg\n",
    "dfeDataOutputMode 1\n",
    "channelCfg 15 1 0\n",
    "adcCfg 2 1\n",
    "lowPower 0 1\n",
    "profileCfg 0 77 20 5 80 0 0  40 1 256 6000 0 0 30\n",
    "chirpCfg 0 0 0 0 0 0 0 1\n",
    "frameCfg 0 0 128 1024 20 1 0\n",
    "testFmkCfg 0 0 0 1\n",
    "setProfileCfg disable ADC disable\n",
    "sensorStart\n",
    "\n",
    "sensorStop\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "radarCfg = {'start_frequency': 77e9,\n",
    "            'idle': 10e-6,\n",
    "            'adcStartTime': 5e-6,\n",
    "            'rampEndTime': 80e-6,\n",
    "            'txStartTime': 1e-6,\n",
    "            'adcSamples': 256,\n",
    "            'adcSampleRate': 6000e3,\n",
    "            'freqSlopeConst': 40e6/1e-6,\n",
    "            'txPower': 0,\n",
    "            'txPhaseShift': 0,\n",
    "            'hpfCornerFreq1': 0,\n",
    "            'hpfCornerFreq2': 0,\n",
    "            'rxGain': 30,\n",
    "            'numChirps': 128,\n",
    "            'numLanes': 4,\n",
    "            'isComplex': True,\n",
    "           }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_profile_string(cfg):\n",
    "    \"\"\"IWR14xx CLI string:\n",
    "    profileCfg <profileId> <startFreq> <idleTime> <adcStartTime> <rampEndTime> <txOutPower> <txPhaseShifter> <freqSlopeConst> <txStartTime> <numAdcSamples> <digOutSampleRate> <hpfCornerFreq1> <hpfCornerFreq2> <rxGain>\n",
    "    \n",
    "    profileId        - int\n",
    "    startFreq        - float, GHz\n",
    "    idleTime         - float, us\n",
    "    adcStartTime     - float, us\n",
    "    rampEndtime      - float, us\n",
    "    txOutPower       - float, dB\n",
    "    txPhaseShifter   - float\n",
    "    freqSlopeConst   - float, Mhz/us\n",
    "    txStartTime      - float, us\n",
    "    numADCSamples    - int\n",
    "    digOutSampleRate - int, kHz\n",
    "    hpfCornerFreq1   - 0\n",
    "    hpfCornerFreq2   - 0\n",
    "    rxGain           - float, dB\n",
    "    \"\"\"\n",
    "    profileStr = 'profileCfg {} {:.3f} {:.3f} {:.3f} {:.3f} {} {} {:.3f} {} {:.0f} {:.0f} {} {} {:.0f}'.format(\n",
    "        0,\n",
    "        cfg['start_frequency']/1e9,\n",
    "        cfg['idle']/1e-6, \n",
    "        cfg['adcStartTime']/1e-6,\n",
    "        cfg['rampEndTime']/1e-6,\n",
    "        cfg['txPower'],\n",
    "        cfg['txPhaseShift'],\n",
    "        cfg['freqSlopeConst']/1e6*1e-6,\n",
    "        cfg['txStartTime']/1e-6,\n",
    "        cfg['adcSamples'],\n",
    "        cfg['adcSampleRate']/1e3,\n",
    "        cfg['hpfCornerFreq1'],\n",
    "        cfg['hpfCornerFreq2'],\n",
    "        cfg['rxGain']\n",
    "    )\n",
    "    return profileStr\n",
    "\n",
    "def cmd_to_dict(cmd_str, curr_cfg = None):\n",
    "    #TODO: implement others according to documentation\n",
    "    cmd_split = cmd_str.split()\n",
    "    \n",
    "    if cmd_split[0] == 'profileCfg':\n",
    "        curr_cfg = profileStr_to_dict(cmd_split[1:], curr_cfg)\n",
    "    else:\n",
    "        raise ValueError(f\"Unknown command {cmd_split[0]}\")\n",
    "        \n",
    "    return curr_cfg\n",
    "\n",
    "def dict_to_cli(config):\n",
    "    #TODO: implement\n",
    "    pass\n",
    "    \n",
    "def profileStr_to_dict(args, curr_cfg = None):\n",
    "    normalizer = [None, 1e9, 1e-6, 1e-6, 1e-6, None, None, 1, 1e-6, None, 1e3, None, None, None]\n",
    "    dtype = [int, float, float, float, float, float, float, float, float, int, float, int, int, float]\n",
    "    keys = ['id',\n",
    "            'start_frequency',\n",
    "            'idle',\n",
    "            'adcStartTime',\n",
    "            'rampEndTime',\n",
    "            'txPower',\n",
    "            'txPhaseShift',\n",
    "            'freqSlopeConst',\n",
    "            'txStartTime',\n",
    "            'adcSamples',\n",
    "            'adcSampleRate',\n",
    "            'hpfCornerFreq1',\n",
    "            'hpfCornerFreq2',\n",
    "            'rxGain',\n",
    "           ]\n",
    "    if curr_cfg:\n",
    "        cfg = curr_cfg\n",
    "    else:\n",
    "        cfg = {}\n",
    "            \n",
    "    for k, v, n, d in zip(keys, args, normalizer, dtype):\n",
    "        cfg[k] = d(float(v) * n if n else v)\n",
    "    return cfg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'profileCfg 0 77.000 10.000 5.000 80.000 0 0 40.000 1.0 256 6000 0 0 30'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make_profile_string(radarCfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'numChirps': 128,\n",
       " 'id': 0,\n",
       " 'start_frequency': 77000000000.0,\n",
       " 'idle': 9.999999999999999e-06,\n",
       " 'adcStartTime': 4.9999999999999996e-06,\n",
       " 'rampEndTime': 7.999999999999999e-05,\n",
       " 'txPower': 0.0,\n",
       " 'txPhaseShift': 0.0,\n",
       " 'freqSlopeConst': 40.0,\n",
       " 'txStartTime': 1e-06,\n",
       " 'adcSamples': 256,\n",
       " 'adcSampleRate': 6000000.0,\n",
       " 'hpfCornerFreq1': 0,\n",
       " 'hpfCornerFreq2': 0,\n",
       " 'rxGain': 30.0}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_test = {}\n",
    "_test['numChirps'] = 128\n",
    "cmd_to_dict(\"profileCfg 0 77.000 10.000 5.000 80.000 0 0 40.000 1.0 256 6000 0 0 30\", _test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper functions to get physical units\n",
    "\n",
    "Everything is in SI units (metric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_interchirp_time(cfg):\n",
    "    return cfg['idle']+cfg['rampEndTime']\n",
    "\n",
    "def fft_bin2freq(fft_bin, cfg, fft_shift=False):\n",
    "    #TODO: handle fftshift?\n",
    "    return np.fft.fftfreq(cfg['adcSamples'], 1/cfg['adcSampleRate'])[fft_bin]\n",
    "\n",
    "def freq2range(beat_freq, cfg):\n",
    "    return beat_freq * consts.c/(2*cfg['freqSlopeConst'])\n",
    "\n",
    "def fft_bin2range(fft_bin, cfg):\n",
    "    return freq2range(fft_bin2freq(fft_bin, cfg), cfg)\n",
    "\n",
    "def doppler_bin2velocity(doppler_bin, cfg, shifted=True):\n",
    "    tc = compute_interchirp_time(cfg)\n",
    "    lambd = consts.c/cfg['start_frequency']\n",
    "    dv = lambd/(2*cfg['numChirps']*tc)\n",
    "    v = np.arange(cfg['numChirps'])*dv\n",
    "    if shifted:\n",
    "        zero_idx = np.argmin(np.fft.fftshift(np.arange(cfg['numChirps'])))\n",
    "        v -= v[zero_idx]\n",
    "    return v[doppler_bin]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IO Helper functions\n",
    "\n",
    "`zeropad_missing_packets` limitations:\n",
    " - Currently only handles ADC mode correctly (i.e. no headers)\n",
    " - cannot handle out of order packets: (TODO: implement either reorder or discard)\n",
    " - Needs to know now to hand CP_ADC_CQ, CP_ADC modes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_raw_udp(filename, PACKET_LENGTH = 1466):\n",
    "    with open(filename, 'rb') as raw_capture:\n",
    "        packet_data = []\n",
    "        for chunk in iter(lambda: raw_capture.read(PACKET_LENGTH), ''):\n",
    "            if len(chunk) < PACKET_LENGTH:\n",
    "                print('Remainder bytes: {}. Something is wrong if not 0'.format(len(chunk)))\n",
    "                break\n",
    "            else:\n",
    "                packet_data.append(chunk)\n",
    "        print('{} packets read.'.format(len(packet_data)))\n",
    "    \n",
    "    return packet_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def zeropad_missing_packets(packet_data, config, verbose=True):\n",
    "    #TODO: implement reorder\n",
    "    seqn_ = 0\n",
    "    bytec_ = 0\n",
    "    samples = []\n",
    "\n",
    "    numBytesPerFrame = 2*config['adcSamples']*config['numLanes']*config['numChirps']\n",
    "    if config['isComplex']:\n",
    "        numBytesPerFrame *= 2\n",
    "    numSamplesPerFrame = numBytesPerFrame/2\n",
    "    print(\"Bytes per frame: {}\".format(numBytesPerFrame))\n",
    "    packetsPerFrame = numBytesPerFrame/1456\n",
    "    print(\"Packets per frame: {}\".format(packetsPerFrame))\n",
    "\n",
    "    for packet in packet_data:\n",
    "        seqn, _b, bytec = struct.unpack('<III', packet[:12])\n",
    "        if seqn_ +1 != seqn:\n",
    "            packets_lost = seqn - seqn_\n",
    "            bytes_lost = bytec - bytec_\n",
    "            if verbose:\n",
    "                print(\"@frame {}-{}: lost {} packets ({} bytes, {} samples, {:.3f} frames)\".format(seqn_/packetsPerFrame,\n",
    "                                                                                                   seqn/packetsPerFrame,\n",
    "                                                                                                   packets_lost,\n",
    "                                                                                                   bytes_lost,\n",
    "                                                                                                   (bytes_lost)/2,\n",
    "                                                                                                   bytes_lost/numBytesPerFrame\n",
    "                                                                                                  ))\n",
    "\n",
    "            samples.append(np.zeros((bytec-bytec_-1456)//2, dtype=np.int16))\n",
    "        samples.append(np.frombuffer(packet[10:], dtype=np.int16))\n",
    "        seqn_ = seqn\n",
    "        bytec_ = bytec\n",
    "    samples = np.concatenate(samples)\n",
    "    print(\"Last seqn read {}, last bytecount {} + 1456\".format(seqn, bytec))\n",
    "    print(\"expected samples length {}\".format((bytec + 1456)//2))\n",
    "    print(\"Num samples {}\".format(samples.shape))\n",
    "\n",
    "    print(\"{} frames available:\".format(samples.shape[0]/numSamplesPerFrame))\n",
    "    \n",
    "    return samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def form_data_cube(config, flat_array):\n",
    "    samples_per_frame = config['adcSamples'] * config['numChirps'] * config['numLanes']\n",
    "    if config['isComplex']:\n",
    "        data = flat_array.reshape(-1, 8)\n",
    "        data = data[:, :4] + 1j* data[:, 4:]\n",
    "        data.reshape(-1)\n",
    "    else:\n",
    "        data = flat_array\n",
    "        \n",
    "    samples_to_discard = len(data)%samples_per_frame\n",
    "    \n",
    "    if samples_to_discard >0:\n",
    "        print(\"Warning: there seems to be incomplete frames. {} samples discarded.\".format(samples_to_discard))\n",
    "        data = data[:-samples_to_discard]\n",
    "    \n",
    "    return data.reshape(-1, config['numChirps'], config['adcSamples'], config['numLanes'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remainder bytes: 62. Something is wrong if not 0\n",
      "183778 packets read.\n",
      "Bytes per frame: 524288\n",
      "Packets per frame: 360.0879120879121\n",
      "@frame 0.063873291015625-1.9467468261718748: lost 678 packets (987168 bytes, 493584.0 samples, 1.883 frames)\n",
      "Last seqn read 184455, last bytecount 268565024 + 1456\n",
      "expected samples length 134283240\n",
      "Num samples (134283240,)\n",
      "512.2499084472656 frames available:\n"
     ]
    }
   ],
   "source": [
    "packet_data = read_raw_udp('test/adc_data_Raw_0.bin', 1470)\n",
    "samples = zeropad_missing_packets(packet_data, radarCfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 1456, 0, 0, -68026466, -11665624, -56360704, -38666806)\n",
      "(2, 1456, 1456, 0, -14876812, 14876299, -8060771, -2621870)\n",
      "(3, 1456, 2912, 0, -25952675, 1966024, -14811303, -27984395)\n",
      "(4, 1456, 4368, 0, -7668007, 3866421, -10879077, -4260408)\n",
      "(5, 1456, 5824, 0, -36896661, -19726874, -5570034, -35389636)\n",
      "(6, 1456, 7280, 0, -43974945, -29098798, -1375737, -45613615)\n",
      "(7, 1456, 8736, 0, -46727620, -4456458, -26411281, -35520975)\n",
      "(8, 1456, 10192, 0, -33096012, -42271246, 25231668, -63111692)\n",
      "(9, 1456, 11648, 0, -15990929, -18809157, -4915156, -41681348)\n",
      "(10, 1456, 13104, 0, -40829103, -40174235, 3342584, -63046279)\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print(struct.unpack('<IIIh'+('i'*4), packet_data[i][:14 + 8*2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: there seems to be incomplete frames. 8189 samples discarded.\n"
     ]
    }
   ],
   "source": [
    "radar_data_cube = form_data_cube(radarCfg, samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_range_time(dataarray, frame_n, rx_n, cfg=None):\n",
    "    #if cfg is provided, convert to metric units\n",
    "    rt_fft = np.fft.fft(dataarray[frame_n, :, :, rx_n])\n",
    "    \n",
    "    plt.figure()\n",
    "    range_max = fft_bin2range(rt_fft.shape[1]//2-1, cfg) if cfg else rt_fft.shape[1]\n",
    "    plt.imshow(np.abs(rt_fft[:, :rt_fft.shape[1]//2]),\n",
    "               interpolation='nearest',\n",
    "               extent=(0, range_max, 0, rt_fft.shape[0]),\n",
    "               aspect=range_max/(5*rt_fft.shape[0]),\n",
    "               origin='lower'\n",
    "              )\n",
    "    plt.title('Chirp(Time)/Range')\n",
    "    plt.show()\n",
    "    return rt_fft\n",
    "\n",
    "def plot_doppler_range(dataarray, frame_n, rx_n, cfg=None):\n",
    "    rt_fft = np.fft.fft(dataarray[frame_n, :, :, rx_n])\n",
    "    dr_fft = np.fft.fftshift(np.fft.fft(rt_fft, axis=0), axes=0)\n",
    "    \n",
    "    plt.figure()\n",
    "    range_max = fft_bin2range(rt_fft.shape[1]//2-1, cfg) if cfg else rt_fft.shape[1]\n",
    "    v_min = doppler_bin2velocity(0, cfg)\n",
    "    v_max = doppler_bin2velocity(cfg['numChirps']-1, cfg)\n",
    "    plt.imshow(np.abs(dr_fft[:, :rt_fft.shape[1]//2]),\n",
    "               interpolation='nearest',\n",
    "               extent=(0, range_max, v_min, v_max),\n",
    "               aspect=range_max/(v_max-v_min),\n",
    "               origin='lower'\n",
    "              )\n",
    "    plt.title('Dopper/Range')\n",
    "    plt.show()\n",
    "    return dr_fft\n",
    "\n",
    "def plot_range_azimuth(dataarray, frame_n, chirp_n, cfg=None):\n",
    "    rt_fft = np.fft.fft(dataarray[frame_n, :, :, :], axis=1)\n",
    "    dr_fft = np.fft.fftshift(np.fft.fft(rt_fft, axis=0), axes=0)\n",
    "    azi_fft = np.fft.fftshift(np.fft.fft(dr_fft, axis=2), axes=2)\n",
    "    \n",
    "    plt.figure()\n",
    "    \n",
    "    range_max = fft_bin2range(rt_fft.shape[1]//2-1, cfg) if cfg else rt_fft.shape[1]\n",
    "    \n",
    "    plt.imshow(np.abs(azi_fft[chirp_n, :rt_fft.shape[1]//2, :]),\n",
    "               interpolation='nearest', \n",
    "               extent=(-np.pi/2, np.pi/2, 0, fft_bin2range(127, radarCfg)),\n",
    "               aspect=np.pi/range_max,\n",
    "               origin='lower'\n",
    "              )\n",
    "    plt.title('Range/Azimuth(rad)')\n",
    "    return azi_fft"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "range_fft = plot_range_time(radar_data_cube, 10, 0, radarCfg)\n",
    "doppler_fft = plot_doppler_range(radar_data_cube, 10, 0, radarCfg)\n",
    "azi_fft = plot_range_azimuth(radar_data_cube, 10, 0, radarCfg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verify with binary generated by `Packet_Reorder_Zerofill.exe`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "samples2 = np.fromfile('test/adc_data_test5.bin', dtype='int16',  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'start_frequency': 77000000000.0,\n",
       " 'idle': 1e-05,\n",
       " 'adcStartTime': 5e-06,\n",
       " 'rampEndTime': 8e-05,\n",
       " 'txStartTime': 1e-06,\n",
       " 'adcSamples': 256,\n",
       " 'adcSampleRate': 6000000.0,\n",
       " 'freqSlopeConst': 40000000000000.0,\n",
       " 'txPower': 0,\n",
       " 'txPhaseShift': 0,\n",
       " 'hpfCornerFreq1': 0,\n",
       " 'hpfCornerFreq2': 0,\n",
       " 'rxGain': 30,\n",
       " 'numChirps': 128,\n",
       " 'numLanes': 4,\n",
       " 'isComplex': False}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "radarCfg2 =  radarCfg.copy()\n",
    "radarCfg2['adcSamples'] = 256\n",
    "radarCfg2['isComplex'] = False\n",
    "radarCfg2['numLanes'] = 4\n",
    "radarCfg2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: there seems to be incomplete frames. 65536 samples discarded.\n",
      "(1024, 128, 256, 4)\n"
     ]
    }
   ],
   "source": [
    "radar_data2 = form_data_cube(radarCfg2, samples2)\n",
    "print(radar_data2.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(128, 256, 4)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f0_rx0 = radar_data2[1023, :, :, :]\n",
    "print(f0_rx0.shape)\n",
    "\n",
    "range_fft = plot_range_time(radar_data2, 1023, 0, radarCfg2)\n",
    "doppler_fft = plot_doppler_range(radar_data2, 1023, 0, radarCfg2)\n",
    "azi_fft = plot_range_azimuth(radar_data2, 1023, 0, radarCfg2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dummy data\n",
    "Check if we are doing the right thing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#uncorrelated noise\n",
    "sim_sig = np.random.uniform(high=.01, low=-.01, size=[128, 256])\n",
    "\n",
    "tt = np.arange(256)*(1/6000e3)\n",
    "#IF 1 @ 500hz , phase shift 0.01 rad phase per chirp\n",
    "if1 = np.array([np.sin( 2* np.pi * 500000 * tt + 0.4 * n) for n in range(128)])\n",
    "\n",
    "#IF 2 @ 500hz , phase shift -0.01 rad phase per chirp\n",
    "if2 = np.array([np.sin( 2* np.pi * 500000 * tt + 0.9 * n) for n in range(128)])\n",
    "\n",
    "#IF 3 @ 1500hz , phase shift -0.02 rad phase per chirp\n",
    "if3 = np.array([np.sin( 2* np.pi * 150000 * tt - 0.2 * n) for n in range(128)])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fde482c2e48>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xquqvd02vSHJPkjuT3Ny13ZzkPTP1EAAA9sGs8xj/syTvqKpjST6b5IcyCrbvqKpbktyf5LUzvgbA3vUHgZ1vINQqZR5n6cuWFenOzfT2bwS0x0YrBLbtMtfLfE/WLr7Bn8DFb6bAuLX28SQnBx56xSzPCwAA+82f5AAAEEtCAwfJuHRgaA7dbY9ZoRKKedhpWe1eecWkhGIRA/8uhHnsgRUhYwwAAJExBg66zRVcyWs8jdqW6dR6WdtxBnXR2ewus75lUOIyM+j992NwGr6LZApB4KIlYwwAABEYAwBAEqUUwEHUn7+3XxowtILbfumVBtRat722T4PO+u/B0EC8Zb4v2zGPMbAErjwAABCBMQAAJFFKARxGy567eH09SVJHppfgdma6LPOktGFoft9l931edpi7uHqPt3HJSX/WilUs/wAuejLGAAAQGWPgoNuveYyHMqC9DGf1BtqtHT8+2rjkxPTx02cm221out7zZZEvFjtlifuDEfdrYCJAj4wxAABEYAwAAElWqZTiYr49CBeiLr6/R2sRt7X38j4M9KOGrh1Hj042Nx97bLrvsWPnHjOeL3eorb9v/7W7wXNJkm4AXfVeM8dG25vPuGTS9OQ1l0+2H7r5VJLkP7/krZO2H/+Xb5hsX/75x0cv+bUnpv146vRo40yv5OJsf8BeNyhvo1eHMV7yuT9gr19a0v07q/ecQ9peBvxtXsAx3Xu75XMZl5skyZNPnXvMZFntC+/aUhgsCKvjPJeni+83NAAALIDAGAAAskqlFAdlbk7YyeCUA6ttle8CD145ejM8rPVuyW927W3R/6DuNn+/BOXEn07LL57/+5cmSf71ie+etF3+5Y9PtsdzGm/s1M9Zr5trXZ+2W0J73rYrmRuXRfRKVPp7TuZ77pWJtHGpxqLfI+BQkTEGAICsUsYYYNHOl13ca2ZxcHW60etsuTnQG4zWnnxy9P306Wnb0Mp3+5XtXMTr7DSgemiO516GvU70Bt+dGg1WbKf7gwQ3znmewc93u37IJAMDZIwBACACYwAASKKUAjjg9jQH74W9wOj7TqUDvdv8bWOgVGLZA+AWefzAnNU1MC/0eJ7pJNm48pnTh8+Oyibq9MB8y/33dXMg17Nd+cxe/h3KL+DAkzEGAICsUsbYynfAvPSyhFtWU+syk21oVbY9XoL2tCrg+Jj+KnX9wWjru3zO3a4euE0fa/x+9Ab+1frAc/ZWApxcq4dWB+y/Vn91wLVxRri3OuDxaXZ485mj6esef950dcAP/eptk+3n/+aPJEme99+unh7+8GhFw3r8yelznuoNZuyyzDk7MKgxvaz95kBGebuVAicP75A5vpBV/+Y8deDgub2KVnkOSA4+K98BAMD5CYwBACCrVEphUAMwq/Et/V6JweSWeZI2Ll2Y4/VmT3eEu9vdW8ow+rf5z+7P9XDyKr1SiHZ2cNfZ7HLw3WV/Pi2veNWr//Fk+wUPfz5Jsvm1r0/aNsflH1sG3w28b7Pesve7CQ4VGWMAAIjAGAAAkqxSKQXArCZzCi+3G7u15db/qtyyX0Q/tqyNPX6Z3oc0LnHpzdKxdv9Dk+3Nbgntzf48xkMlEqvyHgIXLRljAACIjDHA/htnO3c7D/GijAfdLSPTOvCarZcx3nzs8XPbN8/NPAPMk4wxAABEYAwAAEmUUgCwKvrlFf3BdZYPBvaJjDEAAERgDAAASZRSACyPEoGtektT15Fzfz31Z60wZzGwCDLGAAAQGWPgINqSiV1fWjc4jxpYnrA3r3MdOzbZbuPscH+lwGyOH1xA54DDSsYYAAAiMAYAgCQzBsZV9S+q6lNV9cmqemdVnaiq66rqI1V1X1X9ZlUd2/mZADjwqqZfW9rXklpLra9PvnLJiclXHTky+lqrydf4mC3Pud3zA+zSngPjqromyT9PcrK19i0ZFfLdlOTnk/xSa+2bknwlyS3z6CgAACzSrKUUR5JcUlVHklya5KEk35Hk3d3jtyd5zYyvAcAq2y5re74s7iTjuzbNBK+vTb7yjMsmX3XieOrE8WR9ffJ1buZ4bfY+AYfengPj1tqDSf5Nkr/IKCD+WpI/TPLV1trZbrcHklwzaycBAGDRZimleE6SG5Ncl+SvJrksyQ0XcPytVXV3Vd19Jqf22g0AAJiLWeYx/ntJPtda+8skqarfTvKyJM+uqiNd1vjaJA8OHdxauy3JbUnyzLrCRJTA/unfQl/mPLiLfu29lArMWl7w9JKGZFTycJ796ujoV1EdPz5pO33tcybbxzdGcxbX6TPT48902xu9Oavb9HXa5g7v7Xiu63mVU5hPGQ6EWWqM/yLJS6vq0qqqJK9Ick+SDyT53m6fm5O8Z7YuAgDA4s1SY/yRjAbZfSzJJ7rnui3JTyX58aq6L8k3JHnrHPoJAAALNdOS0K21Nyd589OaP5vkJbM8L1w0jGpfTf3b2v3b+AO3+bOEj3BcWtA2NvqNuzpmjy843D5+zs1t3q/x4UPn+dpaf4dz2mu99/h6tyz3kemvnC1LPl96Ikly6tpnTdpu+OUPTrbf/o5XJkmu/cD08fUvPTp6uSenY1Rav9TibDcGvPcet/55sTmwpHTX1nYqi9htmcYe7VgGsl9m/Hew4pT/DLLyHQAAZMaMMRx6/uLeX7vN0K+tTzbbmbPT9s2NgZ0XYKifvXNlkojr9XOn7Fybpeu1zXl6thvUtt5/v6b7TjLbOz5/L8cycMwk49x7nRztzUb01Gj7+Ob0PXjbHa+cbP+Vj51Okhx56CvTfj72eNff6efbzvY/64Hs71Amdqf3fdbs7UHLurrmccDJGAMAQATGAACQRCkFcDHZ6TbuQAlDf9Davt3V3u3t5n6HFnmLeoc6jC2DAHd/WM/5BxG2yUO9sofeQLlaH5VS1JnTk7bn3vXMyfbRB/5fkmTzy1/tHd/t2y916L2fu57HeF6UGMCBIGMMAACRMQYOkknWrp8NXB/ak+3sISu/9fjtM7Fts5+LGUhH97LIR7702PS4x58YfT89zSiPp2HbNjO8l4ywrC8cejLGAAAQgTEAACRRSgHAhZQQzFJq0S9v6A/S69r7gwDXnuqtaDeen3izPxf0hc9JrFQC2ImMMQAARGAMAABJlFIAME9D5QqDS2T35xxe63brHXtqOgPFZNnnoVIJ5RPAHMkYAwBAZIwBluewZDPH/84LmAN5MuCud3zbZpW7874mwAWQMQYAgAiMAQAgiVIKAJZtUhbRW757o1cqsbnL5Z2VTwAzkjEGAIAIjAEAIIlSCgD2S7/UYWCGiu1mnWhKJIB9ImMMAACRMQZgFW3uMkssmwzMkYwxAABEYAwAAEmUUgCwDDsNxOs/Pi6r2GkZaIAZyRgDAEBkjAFYRbtd7Q5gjmSMAQAgAmMAAEiilAI44Npu58Nl+fqD69rwKngAiyRjDAAAERgDAEASpRQAXIwsBQ0sgIwxAABExhiAZRtnf/sr4JnHGFgCGWMAAIjAGAAAkgiMAQAgicAYAACSCIwBACCJwBgAAJIIjAEAIIl5jAFYQa23sl3btModsD92zBhX1duq6pGq+mSv7Yqqen9Vfab7/pyuvarqV6rqvqr6k6p68SI7DwAA87KbUoq3J7nhaW1vTHJXa+36JHd1PyfJq5Jc333dmuQt8+kmAAAs1o6BcWvtQ0m+/LTmG5Pc3m3fnuQ1vfbfaCMfTvLsqrp6Xp0FAIBF2evgu6taaw91219MclW3fU2SL/T2e6BrO0dV3VpVd1fV3Wdyao/dAACA+Zh5Voo2GiFxwSMjWmu3tdZOttZOHs3xWbsBAAAz2Wtg/PC4RKL7/kjX/mCS5/b2u7ZrAwCAlbbXwPjOJDd32zcneU+v/Qe62SlemuRrvZILAABYWTvOY1xV70zy8iRXVtUDSd6c5OeS3FFVtyS5P8lru93fm+TVSe5L8kSSH1pAnwEAYO52DIxba6/b5qFXDOzbkrx+1k4BAMB+syQ0AADEktAArKKhZaCbpaGBxZIxBgCACIwBACCJwBgAAJIIjAEAIInAGAAAkgiMAQAgicAYAACSCIwBACCJwBgAAJIIjAEAIInAGAAAkgiMAQAgicAYAACSCIwBACBJcmTZHQCAJElrve3N4W2ABZIxBgCACIwBACCJwBgAAJIIjAEAIInAGAAAkgiMAQAgicAYAACSCIwBACCJwBgAAJIIjAEAIInAGAAAkgiMAQAgicAYAACSCIwBACCJwBgAAJIIjAEAIInAGAAAkgiMAQAgicAYAACSCIwBACCJwBgAAJIIjAEAIInAGAAAkgiMAQAgicAYAACSCIwBACDJLgLjqnpbVT1SVZ/stf1CVf1pVf1JVf1OVT2799ibquq+qvp0Vb1yUR0HAIB52k3G+O1Jbnha2/uTfEtr7W8k+bMkb0qSqnphkpuSfHN3zK9W1frcegsAAAuyY2DcWvtQki8/re33Wmtnux8/nOTabvvGJO9qrZ1qrX0uyX1JXjLH/gIAwELMo8b4h5P8j277miRf6D32QNd2jqq6tarurqq7z+TUHLoBAAB7N1NgXFX/KsnZJO+40GNba7e11k621k4ezfFZugEAADM7stcDq+oHk3xXkle01lrX/GCS5/Z2u7ZrAwCAlbanjHFV3ZDkJ5N8T2vtid5Ddya5qaqOV9V1Sa5P8gezdxMAABZrx4xxVb0zycuTXFlVDyR5c0azUBxP8v6qSpIPt9Z+pLX2qaq6I8k9GZVYvL61trGozgMAwLzsGBi31l430PzW8+z/s0l+dpZOAQDAfrPyHQAAZIbBdwCwKG2z7bwTwJzJGAMAQATGAACQRGAMAABJBMYAAJBEYAwAAEkExgAAkERgDAAASQTGAACQRGAMAABJBMYAAJBEYAwAAEkExgAAkCSp1tqy+5Cq+ssk9ye5MsmXltwdls95wJhzgTHnAmPOBZLZzoO/1lr7xqEHViIwHququ1trJ5fdD5bLecCYc4Ex5wJjzgWSxZ0HSikAACACYwAASLJ6gfFty+4AK8F5wJhzgTHnAmPOBZIFnQcrVWMMAADLsmoZYwAAWAqBMQAAZEUC46q6oao+XVX3VdUbl90f9ldVfb6qPlFVH6+qu7u2K6rq/VX1me77c5bdT+avqt5WVY9U1Sd7bYOffY38Sned+JOqevHyes48bXMe/ExVPdhdFz5eVa/uPfam7jz4dFW9cjm9ZhGq6rlV9YGquqeqPlVVP9q1uy4cMuc5FxZ6bVh6YFxV60n+Q5JXJXlhktdV1QuX2yuW4O+21l7Um5PwjUnuaq1dn+Su7mcOnrcnueFpbdt99q9Kcn33dWuSt+xTH1m8t+fc8yBJfqm7LryotfbeJOl+P9yU5Ju7Y361+z3CwXA2yU+01l6Y5KVJXt995q4Lh89250KywGvD0gPjJC9Jcl9r7bOttdNJ3pXkxiX3ieW7Mcnt3fbtSV6zxL6wIK21DyX58tOat/vsb0zyG23kw0meXVVX709PWaRtzoPt3JjkXa21U621zyW5L6PfIxwArbWHWmsf67YfTXJvkmviunDonOdc2M5crg2rEBhfk+QLvZ8fyPn/4Rw8LcnvVdUfVtWtXdtVrbWHuu0vJrlqOV1jCbb77F0rDp83dLfH39Yrp3IeHBJV9bwk35rkI3FdONSedi4kC7w2rEJgDH+7tfbijG6Jvb6qvr3/YBvNKWhewUPIZ3+ovSXJ85O8KMlDSf7tcrvDfqqqy5P8VpIfa619vf+Y68LhMnAuLPTasAqB8YNJntv7+dqujUOitfZg9/2RJL+T0a2Ph8e3w7rvjyyvh+yz7T5714pDpLX2cGtto7W2meQ/ZXpL1HlwwFXV0YwCoXe01n67a3ZdOISGzoVFXxtWITD+aJLrq+q6qjqWUeH0nUvuE/ukqi6rqmeMt5P8gySfzOgcuLnb7eYk71lOD1mC7T77O5P8QDcK/aVJvta7tcoB87Q60X+Y0XUhGZ0HN1XV8aq6LqNBV3+w3/1jMaqqkrw1yb2ttV/sPeS6cMhsdy4s+tpwZO9dno/W2tmqekOS9yVZT/K21tqnltwt9s9VSX5ndP7nSJL/2lr73ar6aJI7quqWJPcnee0S+8iCVNU7k7w8yZVV9UCSN5pFAQEAAACHSURBVCf5uQx/9u9N8uqMBlQ8keSH9r3DLMQ258HLq+pFGd0y/3ySf5IkrbVPVdUdSe7JaNT661trG8voNwvxsiTfn+QTVfXxru2n47pwGG13LrxukdcGS0IDAEBWo5QCAACWTmAMAAARGAMAQBKBMQAAJBEYAwBAEoExAAAkERgDAECS5P8D0w8Sv7u0whcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(np.abs(np.fft.fftshift(np.fft.fft2(sim_sig+if1+if2+if3))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
